Mohammad Hijji

University of Tabuk

Papers

2

Total Citations

7

H-Index

2

About

Dr. Mohammad Hijji is a researcher at the forefront of intelligent systems, specializing in the optimization and security of complex, real-world networks. His work bridges the critical gap between theoretical algorithms and practical applications, particularly within the Internet of Things (IoT) and critical infrastructure protection. Dr. Hijji’s most cited research introduces a novel framework for priority-aware node ranking and routing in IoT-driven acoustic systems, a contribution that directly enhances the efficiency and reliability of underwater and environmental monitoring networks. This work, published in 2025, has already garnered significant early attention with 4 citations, signaling its growing influence in the field. Beyond this, Dr. Hijji has pioneered the use of artificial intelligence to safeguard vital national assets. In a highly relevant 2022 study, he developed an AI-driven methodology to protect the oil and gas sectors of the Kingdom of Saudi Arabia from emerging threats like drones and missiles. This research, with 3 citations, demonstrates a forward-thinking application of machine learning for real-time detection and mitigation, showcasing his ability to translate complex algorithms into tangible security solutions. Dr. Hijji’s work is characterized by its direct societal impact, offering robust, intelligent frameworks for a safer and more connected world.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Optimization and localization based framework for priority-aware node ranking and routing in IoT-driven acoustic systems
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Tabuk

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago